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Transient Response of Power Networks to Pulse Inputs of Non-Standard Wave forms: Analysis and Case Studies

Mohamed Mostafa Saied

Abstract


This study reveals and discusses intriguing situations that can cause electromagnetic transient stressors with unexpected magnitudes and time wave patterns in power networks. They may be caused, for instance, by atmospheric discharges that affect overhead power lines and/or underground cables, provided that the stimulating surges also feature a number of rather evenly spaced pulses of a repetitive nature. An s-domain mathematical model based on the distributed parameter analysis is presented. It considers the specifications of the impacted electricity network as well as the spectrum of the discharge surge current. Representative case studies are addressed. They show the dependence of the transient stresses on the networks’ parameters and loading conditions.


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References


A. Greenwood:”Electrical Transients In Power Systems, Book. Second Edition, (Wiley-Interscience) 1991.

M. Saied, A. Alfuhaid:” Transients in a Line/Transformer Cascade By Numerical Laplace Transform Technique”, IEEE Trans.on Power Apparatus and Systems, Vol.104, Oct. 1985, pp. 2901-2909.

A. Alfuhaid, M. Saied:”A Method for the Computation of Fault Transients in Transmission Lines”, IEEE Trans on Power Delivery, Vol. 3, No, 1, Jan. 1988,288-297.

K. Nasrullah: “Voltage Surge Resonance on Electric Power Network”, (Proc. Of the 1999-IEEE Transmission and Distribution Conference), New Orleans, Vol. 2, April 11-16,1999, pp. 687-690.

M. Saied:” Electromagnetic Transients on Power Lines Due to Multi-Pulse Lightning Surges”, Paper No. 33-101, CIGRE Session, 2002, Paris

TheWolfram Cloud Services: Wolfram Mathematica Tutorial Collection.for Version 12.2 .0.0.

Józef Borkowski, Mirosław Szmajda. “The Influence of Power Network Disturbances on Short Delayed Estimation of Fundamental Frequency Based on IpDFT Method with GMSD Windows”. Energies. 2021; 14: 6465.

Sun, J.; Aboutanios, E.; Smith, D.B.; Fletcher, J.E. Robust Frequency, Phase, and Amplitude Estimation in Power Systems Considering Harmonics. IEEE Trans. Power Deliv. 2020, 35, 1158–1168.

Dash, P.K.; Pradhan, A.K.; Panda, G. Frequency estimation of distorted power system signals using extended complex Kalman filter. IEEE Trans. Power Deliv. 1999, 14, 761–766.

Jeong, S.; Lee, J.; Yoon, M.; Jang, G. Energy Storage System Event-Driven Frequency Control Using Neural Networks to Comply with Frequency Grid Code. Energies 2020, 13, 1657.

Ramos, P.M.; Cruz Serra, A. Comparison of frequency estimation algorithms for power quality assessment. Measurement 2009, 42, 1312–1317


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